Publications by Tag

The following tags appear in the publications listed in the review:

AAAI ACCV ACL Arxiv BMVC CIKM CIVR CNN CVPR Case Study Cross-Modal Dataset Deep Learning ECCV ECIR FOCS GAN Has Code ICCV ICIP ICLR ICME ICML ICMR ICPR IJCAI Image Retrieval KDD LSH LSTM MM NAACL NIPS Quantisation RNN SCG SDM SIGIR SIGMOD Self-Supervised Skewed Data Spectral Streaming Data Supervised Survey Paper TIP TOM TPAMI Text Retrieval Unsupervised VLDB Video Retrieval WWW Weakly Supervised

Tags

See below a list of all tags and the related papers

AAAI

• Large-scale supervised multimodal hashing with semantic correlation maximization D. Zhang, W. Li
• Cross-Modal Similarity Learning via Pairs, Preferences, and Active Supervision Yi Zhen, Piyush Rai, Hongyuan Zha, and Lawrence Carin
• Deep Hashing Network for Efficient Similarity Retrieval Han Zhu, Mingsheng Long, Jianmin Wang, Yue Cao
• Affinity Preserving Quantization for Hashing: A Vector Quantization Approach to Learning Compact Binary Codes Z. Wang, L. Duan, T. Huang, W. Gao
• Column Sampling Based Discrete Supervised Hashing Wang-Cheng Kang, Wu-Jun Li, Zhi-Hua Zhou
• Collective Deep Quantization for Efficient Cross-Modal Retrieval Yue Cao, Mingsheng Long, Jianmin Wang, Shichen Liu
• Online Hashing with Efficient Updating of Binary Codes Zhenyu Weng, Yuesheng Zhu

ACCV

• Fast Approximate Nearest-Neighbor Field by Cascaded Spherical Hashing I. Torres-Xirau, J. Salvador, E. Pérez-Pellitero

ACL

• Variable Bit Quantisation for LSH S. Moran, V. Lavrenko, and M. Osborne
• NASH: Toward End-to-End Neural Architecture for Generative Semantic Hashing Dinghan Shen, Qinliang Su, Paidamoyo Chapfuwa, Wenlin Wang, Guoyin Wang, Lawrence Carin, Ricardo Henao

Arxiv

• Deep Saliency Hashing for Fine-grained Retrieval Sheng Jin, Hongxun Yao, Xiaoshuai Sun, Shangchen Zhou, Lei Zhang, Xiansheng Hua

BMVC

• Correlation Autoencoder Hashing for Supervised Cross-Modal Search Yue Cao, Mingsheng Long, Jianmin Wang, Han Zhu
• Push for Quantization: Deep Fisher Hashing Yunqiang Li, Wenjie Pei, Yufei zha, Jan van Gemert

CIKM

• MoBoost: A Self-improvement Framework for Linear-based Hashing Xingbo Liu, Xiushan Nie, Xiaoming Xi, Lei Zhu, Yilong Yin

CIVR

• NUS-WIDE: a real-world web image database from National University of Singapore T. Chua, J. Tang, R. Hong, H. Li, Z. Luo, Y. Zheng

CNN

• Simultaneous Feature Learning and Hash Coding with Deep Neural Networks H. Lai, Y. Pan, Y. Liu, S. Yan
• Deep Visual-Semantic Hashing for Cross-Modal Retrieval Yue Cao, Mingsheng Long, Jianmin Wang, Qiang Yang, Philip S. Yu
• Deep Semantic Hashing with Generative Adversarial Networks Zhaofan Qiu, Yingwei Pan, Ting Yao, Tao Mei
• Hashing with Binary Matrix Pursuit F. Cakir, K. He, S. Sclaroff
• Greedy Hash: Towards Fast Optimization for Accurate Hash Coding in CNN Shupeng Su, Chao Zhang, Kai Han, Yonghong Tian
• Deep Domain Adaptation Hashing with Adversarial Learning Fuchen Long, Ting Yao, Qi Dai, Xinmei Tian, Jiebo Luo, Tao Mei
• Push for Quantization: Deep Fisher Hashing Yunqiang Li, Wenjie Pei, Yufei zha, Jan van Gemert

CVPR

• Semi-supervised hashing for scalable image retrieval J. Wang, S. Kumar, and S. Chang
• Iterative Quantization: A Procrustean Approach to Learning Binary Codes Y. Gong, S. Lazebnik
• Spherical Hashing J. Heo, Y. Lee, J. He, S. Chang, S. Yoon
• Fast supervised hashing with decision trees for high-dimensional data Guosheng Lin, Chunhua Shen, Qinfeng Shi, Anton van den Hengel, and David Suter.
• Locally Linear Hashing for Extracting Non-Linear Manifolds G. Irie, Z. Li, X. Wu, S. Chang
• Collective Matrix Factorization Hashing for Multimodal data G. Ding, Y. Guo, J. Zhou
• Semantics-Preserving Hashing for Cross-View Retrieval Zijia Lin, Guiguang Ding, Mingqing Hu and Jianmin Wang
• Hashing with Binary Autoencoders M. Carreira-Perpinan, R. Raziperchikolaei
• Simultaneous Feature Learning and Hash Coding with Deep Neural Networks H. Lai, Y. Pan, Y. Liu, S. Yan
• Deep learning of binary hash codes for fast image retrieval Kevin Lin, Huei-Fang Yang, Jen-Hao Hsiao, Chu-Song Chen
• Deep Hashing for Compact Binary Codes Learning V. Liong, J. Lu, G. Wang, P. Moulin, J. Zhou
• Deep Semantic Ranking Based Hashing for Multi-Label Image Retrieval F. Zhao, Y. Huang, L. Wang, and T. Tan
• Efficient Training of Very Deep Neural Networks for Supervised Hashing Ziming Zhang, Yuting Chen, Venkatesh Saligrama
• Discretely Coding Semantic Rank Orders for Supervised Image Hashing Li Liu, Ling Shao, Fumin Shen, Mengyang Yu
• HashNet: Deep Learning to Hash by Continuation Zhangjie Cao, Mingsheng Long, Jianmin Wang, Philip S. Yu
• Deep Cross-Modal Hashing Qing-Yuan Jiang, Wu-Jun Li
• Deep Cauchy Hashing for Hamming Space Retrieval Yue Cao, Mingsheng Long, Bin Liu, Jianmin Wang
• Hashing as Tie-Aware Learning to Rank K. He, F. Cakir, S. Bargal, S. Sclaroff
• HashGAN: Deep Learning to Hash with Pair Conditional Wasserstein GAN Yue Cao, Mingsheng Long, Bin Liu, Jiamin Wang
• DistillHash: Unsupervised Deep Hashing by Distilling Data Pairs Erkun Yang, Tongliang Liu, Cheng Deng, Wei Liu, Dacheng Tao
• K-Nearest Neighbors Hashing Xiangyu He, Peisong Wang, Jian Cheng
• Weakly Supervised Deep Image Hashing through Tag Embeddings Vijetha Gattupalli, Yaoxin Zhuo, Baoxin Li
• Auto-Encoding Twin-Bottleneck Hashing Yuming Shen, Jie Qin, Jiaxin Chen, Mengyang Yu, Li Liu, Fan Zhu, Fumin Shen, Ling Shao
• Central Similarity Hashing for Efficient Image and Video Retrieval Li Yuan, Tao Wang, Xiaopeng Zhang, Zequn Jie, Francis EH Tay, Jiashi Feng
• Creating Something from Nothing: Unsupervised Knowledge Distillation for Cross-Modal Hashing Hengtong Hu, Lingxi Xie, Richang Hong, Qi Tian

Case Study

• Locality-Sensitive Hashing for Earthquake Detection: A Case Study of Scaling Data-Driven Science Kexin Rong, Clara E. Yoon, Karianne J. Bergen, Hashem Elezabi,Peter Bailis, Philip Levis, Gregory C. Beroza

Cross-Modal

• Learning hash functions for cross-view similarity search S. Kumar, R. Udupa
• Co-Regularized Hashing for Multimodal Data Y. Zhen, D. Yeung
• Comparing apples to oranges: a scalable solution with heterogeneous hashing M. Ou, P. Cui, F. Wang, J. Wang, W. Zhu, S. Yang
• Linear cross-modal hashing for efficient multimedia search Xiaofeng Zhu, Zi Huang, Heng Tao Shen, Xin Zhao
• Inter-Media Hashing for Large-Scale Retrieval from Heterogeneous Data Sources J. Song, Y. Yang, Y. Yang, Z. Huang, H. Shen
• Collective Matrix Factorization Hashing for Multimodal data G. Ding, Y. Guo, J. Zhou
• Large-scale supervised multimodal hashing with semantic correlation maximization D. Zhang, W. Li
• Semantics-Preserving Hashing for Cross-View Retrieval Zijia Lin, Guiguang Ding, Mingqing Hu and Jianmin Wang
• Multi-View Complementary Hash Tables for Nearest Neighbor Search Xianglong Liu, Lei Huang, Cheng Deng, Jiwen Lu and Bo Land
• Semantic Topic Multimodal Hashing for Cross-Media Retrieval Di Wang, Xinbo Gao, Xiumei Wang and Lihuo He
• Regularised Cross-Modal Hashing S. Moran, V. Lavrenko
• Cross-Modal Similarity Learning via Pairs, Preferences, and Active Supervision Yi Zhen, Piyush Rai, Hongyuan Zha, and Lawrence Carin
• Correlation Autoencoder Hashing for Supervised Cross-Modal Search Yue Cao, Mingsheng Long, Jianmin Wang, Han Zhu
• Deep Visual-Semantic Hashing for Cross-Modal Retrieval Yue Cao, Mingsheng Long, Jianmin Wang, Qiang Yang, Philip S. Yu
• Correlation Autoencoder Hashing for Supervised Cross-Modal Search Yue Cao, Mingsheng Long, Jianmin Wang, Han Zhu
• Collective Deep Quantization for Efficient Cross-Modal Retrieval Yue Cao, Mingsheng Long, Jianmin Wang, Shichen Liu
• Deep Cross-Modal Hashing Qing-Yuan Jiang, Wu-Jun Li
• SCRATCH: A Scalable Discrete Matrix Factorization Hashing for Cross-Modal Retrieval Chuan-Xiang Li , Zhen-Duo Chen, Peng-Fei Zhang, Xin Luo, Liqiang Nie, Wei Zhang, Xin-Shun Xu
• A Two-step Cross-modal Hashing by Exploiting Label Correlations and Preserving Similarity in Both Steps Zhen-Duo Chen, Yongxin Wang, Hui-Qiong Li, Xin Luo, Liqiang Nie, Xin-Shun
• Semi-supervised Deep Quantization for Cross-modal Search Xin Wang, Wenwu Zhu, Chenghao Liu
• Online Multi-modal Hashing with Dynamic Query-adaption Xu Lu, Lei Zhu, Zhiyong Cheng, Liqiang Nie and Huaxiang Zhang
• Supervised Hierarchical Cross-Modal Hashing Changchang Sun, Xuemeng Song, Fuli Feng, Wayne Xin Zhao, Hao Zhang and Liqiang Nie
• Separated Variational Hashing Networks for Cross-Modal Retrieval Peng Hu, Xu Wang, Liangli Zhen, Dezhong Peng
• Deep Joint-Semantics Reconstructing Hashing for Large-Scale Unsupervised Cross-Modal Retrieval Shupeng Su, Zhisheng Zhong, Chao Zhang
• Joint-modal Distribution-based Similarity Hashing for Large-scale Unsupervised Deep Cross-modal Retrieval Song Liu, Shengsheng Qian, Yang Guan, Jiawei Zhan, Long Ying
• Nonlinear Robust Discrete Hashing for Cross-Modal Retrieval Zhan Yang, Jun Long, Lei Zhu, Wenti Huang
• Creating Something from Nothing: Unsupervised Knowledge Distillation for Cross-Modal Hashing Hengtong Hu, Lingxi Xie, Richang Hong, Qi Tian
• Fast Discrete Cross-Modal Hashing Based on Label Relaxation and Matrix Factorization Donglin Zhang, Xiaojun Wu, Zhen Liu, Jun Yu, Josef Kittler
• Online Collective Matrix Factorization Hashing for Large-Scale Cross-Media Retrieval Di Wang, Quan Wang, Yaqiang An, Xinbo Gao, Yumin Tian

Dataset

• The MNIST Database of Handwritten Digits Y. LeCun, C. Cortes, C. Burges
• LabelMe: a database and web-based tool for image annotation B. Russell, A. Torralba, K. Murphy, W. T. Freeman
• The MIR Flickr Retrieval Evaluation. M. J. Huiskes, M. S. Lew
• NUS-WIDE: a real-world web image database from National University of Singapore T. Chua, J. Tang, R. Hong, H. Li, Z. Luo, Y. Zheng
• Learning Multiple Layers of Features from Tiny Images A. Krizhevsky
• ImageNet: A large-scale hierarchical image database J. Deng, W. Dong, R. Socher, L. Li, K. Li, L. Fei-Fei
• A New Approach to Cross-Modal Multimedia Retrieval N. Rasiwasia, J. Costa Pereira, E. Coviello, G. Doyle, G. Lanckriet, R.Levy and N. Vasconcelos
• Microsoft COCO: Common Objects in Context Tsung-Yi Lin, Michael Maire, Serge Belongie, Lubomir Bourdev, Ross Girshick, James Hays, Pietro Perona, Deva Ramanan, C. Lawrence Zitnick, Piotr Dollar

Deep Learning

• Semantic Hashing R. Salakhutdinov, G. Hinton
• Hashing with Binary Autoencoders M. Carreira-Perpinan, R. Raziperchikolaei
• Simultaneous Feature Learning and Hash Coding with Deep Neural Networks H. Lai, Y. Pan, Y. Liu, S. Yan
• Deep learning of binary hash codes for fast image retrieval Kevin Lin, Huei-Fang Yang, Jen-Hao Hsiao, Chu-Song Chen
• Deep Hashing for Compact Binary Codes Learning V. Liong, J. Lu, G. Wang, P. Moulin, J. Zhou
• Deep Semantic Ranking Based Hashing for Multi-Label Image Retrieval F. Zhao, Y. Huang, L. Wang, and T. Tan
• Bit-Scalable Deep Hashing With Regularized Similarity Learning for Image Retrieval and Person Re-Identification R. Zhang, L. Lin, R. Zhang, W. Zuo, L. Zhang
• Efficient Training of Very Deep Neural Networks for Supervised Hashing Ziming Zhang, Yuting Chen, Venkatesh Saligrama
• Deep Hashing Network for Efficient Similarity Retrieval Han Zhu, Mingsheng Long, Jianmin Wang, Yue Cao
• XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks M. Rastegari, V. Ordonez, J. Redmon, A. Farhadi
• Feature Learning based Deep Supervised Hashing with Pairwise Labels Wu-Jun Li, Sheng Wang and Wang-Cheng Kang
• Correlation Autoencoder Hashing for Supervised Cross-Modal Search Yue Cao, Mingsheng Long, Jianmin Wang, Han Zhu
• Deep Visual-Semantic Hashing for Cross-Modal Retrieval Yue Cao, Mingsheng Long, Jianmin Wang, Qiang Yang, Philip S. Yu
• Correlation Autoencoder Hashing for Supervised Cross-Modal Search Yue Cao, Mingsheng Long, Jianmin Wang, Han Zhu
• Deep Supervised Hashing for Multi-Label and Large-Scale Image Retrieval Dayan Wu, Zheng Lin, Bo Li, Mingzhen Ye, Weiping Wang
• Collective Deep Quantization for Efficient Cross-Modal Retrieval Yue Cao, Mingsheng Long, Jianmin Wang, Shichen Liu
• HashNet: Deep Learning to Hash by Continuation Zhangjie Cao, Mingsheng Long, Jianmin Wang, Philip S. Yu
• Deep Cross-Modal Hashing Qing-Yuan Jiang, Wu-Jun Li
• Deep Semantic Hashing with Generative Adversarial Networks Zhaofan Qiu, Yingwei Pan, Ting Yao, Tao Mei
• Deep Supervised Discrete Hashing Qi Li, Zhenan Sun, Ran He, Tieniu Tan
• Variational Deep Semantic Hashing for Text Documents Suthee Chaidaroon, Yi Fang
• Deep Cauchy Hashing for Hamming Space Retrieval Yue Cao, Mingsheng Long, Bin Liu, Jianmin Wang
• Unsupervised Deep Hashing with Similarity-Adaptive and Discrete Optimization Fumin Shen, Yan Xu, Li Liu, Yang Yang, Zi Huang, Heng Tao Shen
• NASH: Toward End-to-End Neural Architecture for Generative Semantic Hashing Dinghan Shen, Qinliang Su, Paidamoyo Chapfuwa, Wenlin Wang, Guoyin Wang, Lawrence Carin, Ricardo Henao
• Progressive Generative Hashing for Image Retrieval Yuqing Ma, Yue He, Fan Ding, Sheng Hu, Jun Li, Xianglong Liu
• Deep Domain Adaptation Hashing with Adversarial Learning Fuchen Long, Ting Yao, Qi Dai, Xinmei Tian, Jiebo Luo, Tao Mei
• HashGAN: Deep Learning to Hash with Pair Conditional Wasserstein GAN Yue Cao, Mingsheng Long, Bin Liu, Jiamin Wang
• Deep Collaborative Discrete Hashing with Semantic-Invariant Structure Zijian Wang, Zheng Zhang, Yadan Luo and Zi Huang
• Accelerate Learning of Deep Hashing With Gradient Attention Long-Kai Huang, Jianda Chen, Sinno Jialin Pan
• Weakly Supervised Deep Image Hashing through Tag Embeddings Vijetha Gattupalli, Yaoxin Zhuo, Baoxin Li
• A Two-step Cross-modal Hashing by Exploiting Label Correlations and Preserving Similarity in Both Steps Zhen-Duo Chen, Yongxin Wang, Hui-Qiong Li, Xin Luo, Liqiang Nie, Xin-Shun
• Semi-supervised Deep Quantization for Cross-modal Search Xin Wang, Wenwu Zhu, Chenghao Liu
• Deep Hashing by Discriminating Hard Examples Cheng Yan, Guansong Pang, Xiao Bai, Chunhua Shen, Jun Zhou, Edwin Hancock
• Supervised Hierarchical Cross-Modal Hashing Changchang Sun, Xuemeng Song, Fuli Feng, Wayne Xin Zhao, Hao Zhang and Liqiang Nie
• Embarrassingly Simple Binary Representation Learning Yuming Shen, Jie Qin,Jiaxin Chen, Li Liu, and Fan Zhu
• Unsupervised Neural Generative Semantic Hashing Casper Hansen, Christian Hansen, Jakob Grue Simonsen, Stephen Alstrup, Christina Lioma
• Deep Saliency Hashing for Fine-grained Retrieval Sheng Jin, Hongxun Yao, Xiaoshuai Sun, Shangchen Zhou, Lei Zhang, Xiansheng Hua
• Deep Joint-Semantics Reconstructing Hashing for Large-Scale Unsupervised Cross-Modal Retrieval Shupeng Su, Zhisheng Zhong, Chao Zhang
• Neighborhood Preserving Hashing for Scalable Video Retrieval Shuyan Li, Zhixiang Chen, Jiwen Lu, Xiu Li, Jie Zhou
• Deep Supervised Hashing With Anchor Graph Yudong Chen, Zhihui Lai, Yujuan Ding, Kaiyi Lin, Wai Keung Wong
• Deep Semantic Text Hashing with Weak Supervision Suthee Chaidaroon, Travis Ebesu, Yi Fang
• Hierarchical Deep Hashing for Fast Large Scale Image Retrieval Yongfei Zhang, Cheng Peng, Zhang Jingtao, Xianglong Liu, Shiliang Pu, Changhuai Chen
• Learning Space Partitions for Nearest Neighbor Search Yihe Dong, Piotr Indyk, Ilya Razenshteyn, Tal Wagner
• Auto-Encoding Twin-Bottleneck Hashing Yuming Shen, Jie Qin, Jiaxin Chen, Mengyang Yu, Li Liu, Fan Zhu, Fumin Shen, Ling Shao
• Content-aware Neural Hashing for Cold-start Recommendation Casper Hansen, Christian Hansen, Jakob Grue Simonsen, Stephen Alstrup, Christina Lioma
• Central Similarity Hashing for Efficient Image and Video Retrieval Li Yuan, Tao Wang, Xiaopeng Zhang, Zequn Jie, Francis EH Tay, Jiashi Feng
• Bio-Inspired Hashing for Unsupervised Similarity Search Chaitanya K. Ryali, John J. Hopfield, Leopold Grinberg, Dmitry Krotov
• Creating Something from Nothing: Unsupervised Knowledge Distillation for Cross-Modal Hashing Hengtong Hu, Lingxi Xie, Richang Hong, Qi Tian
• Targeted Attack for Deep Hashing based Retrieval Jiawang Bai, Bin Chen, Yiming Li, Dongxian Wu, Weiwei Guo, Shu-tao Xia, En-hui Yang
• ExchNet: A Unified Hashing Network for Large-Scale Fine-Grained Image Retrieval Quan Cui, Qing-Yuan Jiang, Xiu-Shen Wei, Wu-Jun Li, and Osamu Yoshie

ECCV

• Multidimensional Spectral Hashing Y. Weiss, R. Fergus, A. Torralba
• Graph Cuts for Supervised Binary Coding T. Ge, K. He, J. Sun
• Optimizing Ranking Measures for Compact Binary Code Learning Guosheng Lin, Chunhua Shen, Jianxin Wu.
• Hashing with Binary Matrix Pursuit F. Cakir, K. He, S. Sclaroff
• ExchNet: A Unified Hashing Network for Large-Scale Fine-Grained Image Retrieval Quan Cui, Qing-Yuan Jiang, Xiu-Shen Wei, Wu-Jun Li, and Osamu Yoshie

ECIR

• Graph Regularised Hashing S. Moran, V. Lavrenko

FOCS

• Near-Optimal Hashing Algorithms for Approximate Nearest Neighbor in High Dimensions A. Andoni, P. Indyk

GAN

• Deep Semantic Hashing with Generative Adversarial Networks Zhaofan Qiu, Yingwei Pan, Ting Yao, Tao Mei
• Progressive Generative Hashing for Image Retrieval Yuqing Ma, Yue He, Fan Ding, Sheng Hu, Jun Li, Xianglong Liu
• Deep Domain Adaptation Hashing with Adversarial Learning Fuchen Long, Ting Yao, Qi Dai, Xinmei Tian, Jiebo Luo, Tao Mei
• HashGAN: Deep Learning to Hash with Pair Conditional Wasserstein GAN Yue Cao, Mingsheng Long, Bin Liu, Jiamin Wang

Has Code

• Multi-Probe LSH: Efficient Indexing for High-Dimensional Similarity Search Q. Lv, W. Josephson, Z. Wang, M. Charikar, K. Li
• Semantic Hashing R. Salakhutdinov, G. Hinton
• Kernelized Locality-Sensitive Hashing for Scalable Image Search B. Kulis, K. Grauman
• Locality-sensitive binary codes from shift-invariant kernels M. Raginsky, S. Lazebnik
• Spectral Hashing Y. Weiss, A. Torralba, R. Fergus
• Hashing with Graphs W. Liu, J. Wang, S. Kumar, S. Chang
• Iterative Quantization: A Procrustean Approach to Learning Binary Codes Y. Gong, S. Lazebnik
• Hamming Distance Metric Learning M. Norouzi, D. Fleet, R. Salakhutdinov
• Neighbourhood Preserving Quantisation for LSH S. Moran, V. Lavrenko, and M. Osborne
• The Power of Asymmetry in Binary Hashing B. Neyshabur, R. Salakhutdinov, N. Srebro
• Learning Hash Functions Using Column Generation X. Li, G. Lin, C. Shen, A. Hengel, A. Dick
• Complementary Projection Hashing Z. Jin, Y. Hu, Y. Lin, D. Zhang, S. Lin, D. Cai, X. Li
• Inter-Media Hashing for Large-Scale Retrieval from Heterogeneous Data Sources J. Song, Y. Yang, Y. Yang, Z. Huang, H. Shen
• Adaptive Quantization for Hashing: An Information-Based Approach to Learning Binary Codes C. Xiong, W. Chen, G. Chen, D. Johnson, J. Corso
• Fast supervised hashing with decision trees for high-dimensional data Guosheng Lin, Chunhua Shen, Qinfeng Shi, Anton van den Hengel, and David Suter.
• Circulant Binary Embedding F. Yu, S. Kumar, Y. Gong, S. Chang
• Large-scale supervised multimodal hashing with semantic correlation maximization D. Zhang, W. Li
• Hashing with Binary Autoencoders M. Carreira-Perpinan, R. Raziperchikolaei
• Adaptive Hashing for Fast Similarity Search F. Cakir, S. Sclaroff
• Graph Regularised Hashing S. Moran, V. Lavrenko
• Scalable Graph Hashing with Feature Transformation Q. Jiang, W. Li
• Deep Hashing Network for Efficient Similarity Retrieval Han Zhu, Mingsheng Long, Jianmin Wang, Yue Cao
• Feature Learning based Deep Supervised Hashing with Pairwise Labels Wu-Jun Li, Sheng Wang and Wang-Cheng Kang
• HashNet: Deep Learning to Hash by Continuation Zhangjie Cao, Mingsheng Long, Jianmin Wang, Philip S. Yu
• Deep Cross-Modal Hashing Qing-Yuan Jiang, Wu-Jun Li
• MIHash: Online Hashing with Mutual Information F. Cakir, K. He, S. Bargal, S. Sclaroff
• Deep Supervised Discrete Hashing Qi Li, Zhenan Sun, Ran He, Tieniu Tan
• Hashing with Binary Matrix Pursuit F. Cakir, K. He, S. Sclaroff
• Unsupervised Deep Hashing with Similarity-Adaptive and Discrete Optimization Fumin Shen, Yan Xu, Li Liu, Yang Yang, Zi Huang, Heng Tao Shen
• Hashing as Tie-Aware Learning to Rank K. He, F. Cakir, S. Bargal, S. Sclaroff
• Greedy Hash: Towards Fast Optimization for Accurate Hash Coding in CNN Shupeng Su, Chao Zhang, Kai Han, Yonghong Tian
• Weakly Supervised Deep Image Hashing through Tag Embeddings Vijetha Gattupalli, Yaoxin Zhuo, Baoxin Li
• Embarrassingly Simple Binary Representation Learning Yuming Shen, Jie Qin,Jiaxin Chen, Li Liu, and Fan Zhu
• Unsupervised Neural Generative Semantic Hashing Casper Hansen, Christian Hansen, Jakob Grue Simonsen, Stephen Alstrup, Christina Lioma
• Deep Joint-Semantics Reconstructing Hashing for Large-Scale Unsupervised Cross-Modal Retrieval Shupeng Su, Zhisheng Zhong, Chao Zhang
• Central Similarity Hashing for Efficient Image and Video Retrieval Li Yuan, Tao Wang, Xiaopeng Zhang, Zequn Jie, Francis EH Tay, Jiashi Feng

ICCV

• Kernelized Locality-Sensitive Hashing for Scalable Image Search B. Kulis, K. Grauman
• Complementary Projection Hashing Z. Jin, Y. Hu, Y. Lin, D. Zhang, S. Lin, D. Cai, X. Li
• Supervised binary hash code learning with jensen shannon divergence Lixin Fan
• An NMF perspective on Binary Hashing Lopamudra Mukherjee, Sathya N. Ravi, Vamsi K. Ithapu, Tyler Holmes and Vikas Singh
• kNN Hashing with Factorized Neighborhood Representation Kun Ding, Chunlei Huo, Bin Fan, Chunhong Pan
• Two Birds, One Stone: Jointly Learning Binary Code for Large-scale Face Image Retrieval and Attributes Prediction Yan Li, Ruiping Wang, Haomiao Liu, Huajie Jiang, Shiguang Shan and Xilin Chen
• Multi-View Complementary Hash Tables for Nearest Neighbor Search Xianglong Liu, Lei Huang, Cheng Deng, Jiwen Lu and Bo Land
• Top Rank Supervised Binary Coding for Visual Search Dongjin Song, Wei Liu, Rongrong Ji, David A. Meyer, John R. Smith
• Adaptive Hashing for Fast Similarity Search F. Cakir, S. Sclaroff
• MIHash: Online Hashing with Mutual Information F. Cakir, K. He, S. Bargal, S. Sclaroff
• Accelerate Learning of Deep Hashing With Gradient Attention Long-Kai Huang, Jianda Chen, Sinno Jialin Pan
• Maximum-Margin Hamming Hashing Rong Kang, Yue Cao, Mingsheng Long (B), Jianmin Wang, and Philip S. Yu
• Embarrassingly Simple Binary Representation Learning Yuming Shen, Jie Qin,Jiaxin Chen, Li Liu, and Fan Zhu
• Deep Joint-Semantics Reconstructing Hashing for Large-Scale Unsupervised Cross-Modal Retrieval Shupeng Su, Zhisheng Zhong, Chao Zhang
• Neighborhood Preserving Hashing for Scalable Video Retrieval Shuyan Li, Zhixiang Chen, Jiwen Lu, Xiu Li, Jie Zhou
• Deep Supervised Hashing With Anchor Graph Yudong Chen, Zhihui Lai, Yujuan Ding, Kaiyi Lin, Wai Keung Wong

ICIP

• Variable-Length Quantization Strategy for Hashing Yang Shi, Xiushan Nie, Xin Zhou, Xiaoming Xi, Yilong Yin

ICLR

• Learning Space Partitions for Nearest Neighbor Search Yihe Dong, Piotr Indyk, Ilya Razenshteyn, Tal Wagner

ICME

• A New Approach to Cross-Modal Multimedia Retrieval N. Rasiwasia, J. Costa Pereira, E. Coviello, G. Doyle, G. Lanckriet, R.Levy and N. Vasconcelos

ICML

• Sequential projection learning for hashing with compact codes J. Wang, S. Kumar, S. Chang
• Hashing with Graphs W. Liu, J. Wang, S. Kumar, S. Chang
• Learning Hash Functions Using Column Generation X. Li, G. Lin, C. Shen, A. Hengel, A. Dick
• Circulant Binary Embedding F. Yu, S. Kumar, Y. Gong, S. Chang
• Hashing for Distributed Data Cong Leng, Jiaxiang Wu, Jian Cheng, Xi Zhang and Hanqing Lu
• Bio-Inspired Hashing for Unsupervised Similarity Search Chaitanya K. Ryali, John J. Hopfield, Leopold Grinberg, Dmitry Krotov

ICMR

• Correlation Autoencoder Hashing for Supervised Cross-Modal Search Yue Cao, Mingsheng Long, Jianmin Wang, Han Zhu
• Deep Supervised Hashing for Multi-Label and Large-Scale Image Retrieval Dayan Wu, Zheng Lin, Bo Li, Mingzhen Ye, Weiping Wang

ICPR

• Hierarchical Deep Hashing for Fast Large Scale Image Retrieval Yongfei Zhang, Cheng Peng, Zhang Jingtao, Xianglong Liu, Shiliang Pu, Changhuai Chen
• Label Self-Adaption Hashing for Image Retrieval Jianglin Lu, Zhihui Lai, Hailing Wang, Jie Zhou
• Fast Discrete Cross-Modal Hashing Based on Label Relaxation and Matrix Factorization Donglin Zhang, Xiaojun Wu, Zhen Liu, Jun Yu, Josef Kittler

IJCAI

• Learning hash functions for cross-view similarity search S. Kumar, R. Udupa
• Semantic Topic Multimodal Hashing for Cross-Media Retrieval Di Wang, Xinbo Gao, Xiumei Wang and Lihuo He
• Scalable Graph Hashing with Feature Transformation Q. Jiang, W. Li
• Feature Learning based Deep Supervised Hashing with Pairwise Labels Wu-Jun Li, Sheng Wang and Wang-Cheng Kang
• Progressive Generative Hashing for Image Retrieval Yuqing Ma, Yue He, Fan Ding, Sheng Hu, Jun Li, Xianglong Liu

Image Retrieval

• Kernelized Locality-Sensitive Hashing for Scalable Image Search B. Kulis, K. Grauman
• Fast Similarity Search for Learned Metrics P. Jain, B. Kulis, K. Grauman
• Locality-sensitive binary codes from shift-invariant kernels M. Raginsky, S. Lazebnik
• Spectral Hashing Y. Weiss, A. Torralba, R. Fergus
• Semi-supervised hashing for scalable image retrieval J. Wang, S. Kumar, and S. Chang
• Iterative Quantization: A Procrustean Approach to Learning Binary Codes Y. Gong, S. Lazebnik
• Hamming Distance Metric Learning M. Norouzi, D. Fleet, R. Salakhutdinov
• Multidimensional Spectral Hashing Y. Weiss, R. Fergus, A. Torralba
• Spherical Hashing J. Heo, Y. Lee, J. He, S. Chang, S. Yoon
• Manhattan Hashing for Large-Scale Image Retrieval W. Kong, W. Li, M. Guo
• Learning Binary Hash Codes for Large-Scale Image Search Kristen Grauman, Rob Fergus
• Inter-Media Hashing for Large-Scale Retrieval from Heterogeneous Data Sources J. Song, Y. Yang, Y. Yang, Z. Huang, H. Shen
• Fast Approximate Nearest-Neighbor Field by Cascaded Spherical Hashing I. Torres-Xirau, J. Salvador, E. Pérez-Pellitero
• Locally Linear Hashing for Extracting Non-Linear Manifolds G. Irie, Z. Li, X. Wu, S. Chang
• Graph Cuts for Supervised Binary Coding T. Ge, K. He, J. Sun
• Optimizing Ranking Measures for Compact Binary Code Learning Guosheng Lin, Chunhua Shen, Jianxin Wu.
• Two Birds, One Stone: Jointly Learning Binary Code for Large-scale Face Image Retrieval and Attributes Prediction Yan Li, Ruiping Wang, Haomiao Liu, Huajie Jiang, Shiguang Shan and Xilin Chen
• Deep learning of binary hash codes for fast image retrieval Kevin Lin, Huei-Fang Yang, Jen-Hao Hsiao, Chu-Song Chen
• Multi-View Complementary Hash Tables for Nearest Neighbor Search Xianglong Liu, Lei Huang, Cheng Deng, Jiwen Lu and Bo Land
• Deep Semantic Ranking Based Hashing for Multi-Label Image Retrieval F. Zhao, Y. Huang, L. Wang, and T. Tan
• Graph Regularised Hashing S. Moran, V. Lavrenko
• Regularised Cross-Modal Hashing S. Moran, V. Lavrenko
• Bit-Scalable Deep Hashing With Regularized Similarity Learning for Image Retrieval and Person Re-Identification R. Zhang, L. Lin, R. Zhang, W. Zuo, L. Zhang
• Deep Hashing Network for Efficient Similarity Retrieval Han Zhu, Mingsheng Long, Jianmin Wang, Yue Cao
• XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks M. Rastegari, V. Ordonez, J. Redmon, A. Farhadi
• Feature Learning based Deep Supervised Hashing with Pairwise Labels Wu-Jun Li, Sheng Wang and Wang-Cheng Kang
• Learning to Project and Binarise for Hashing-Based Approximate Nearest Neighbour Search S. Moran
• Discretely Coding Semantic Rank Orders for Supervised Image Hashing Li Liu, Ling Shao, Fumin Shen, Mengyang Yu
• Deep Supervised Hashing for Multi-Label and Large-Scale Image Retrieval Dayan Wu, Zheng Lin, Bo Li, Mingzhen Ye, Weiping Wang
• A Survey on Learning to Hash Jingdong Wang, Ting Zhang, Jingkuan Song, Nicu Sebe, and Heng Tao Shen
• Deep Cross-Modal Hashing Qing-Yuan Jiang, Wu-Jun Li
• Deep Semantic Hashing with Generative Adversarial Networks Zhaofan Qiu, Yingwei Pan, Ting Yao, Tao Mei
• Hashing with Binary Matrix Pursuit F. Cakir, K. He, S. Sclaroff
• Deep Cauchy Hashing for Hamming Space Retrieval Yue Cao, Mingsheng Long, Bin Liu, Jianmin Wang
• Unsupervised Deep Hashing with Similarity-Adaptive and Discrete Optimization Fumin Shen, Yan Xu, Li Liu, Yang Yang, Zi Huang, Heng Tao Shen
• Progressive Generative Hashing for Image Retrieval Yuqing Ma, Yue He, Fan Ding, Sheng Hu, Jun Li, Xianglong Liu
• HashGAN: Deep Learning to Hash with Pair Conditional Wasserstein GAN Yue Cao, Mingsheng Long, Bin Liu, Jiamin Wang
• Weakly Supervised Deep Image Hashing through Tag Embeddings Vijetha Gattupalli, Yaoxin Zhuo, Baoxin Li
• A Two-step Cross-modal Hashing by Exploiting Label Correlations and Preserving Similarity in Both Steps Zhen-Duo Chen, Yongxin Wang, Hui-Qiong Li, Xin Luo, Liqiang Nie, Xin-Shun
• MoBoost: A Self-improvement Framework for Linear-based Hashing Xingbo Liu, Xiushan Nie, Xiaoming Xi, Lei Zhu, Yilong Yin
• Deep Hashing by Discriminating Hard Examples Cheng Yan, Guansong Pang, Xiao Bai, Chunhua Shen, Jun Zhou, Edwin Hancock
• Push for Quantization: Deep Fisher Hashing Yunqiang Li, Wenjie Pei, Yufei zha, Jan van Gemert
• Hashing with Mutual Information F. Cakir, K. He, S. Bargal, S. Sclaroff
• Deep Saliency Hashing for Fine-grained Retrieval Sheng Jin, Hongxun Yao, Xiaoshuai Sun, Shangchen Zhou, Lei Zhang, Xiansheng Hua
• Learning to Hash with a Dimension Analysis-based Quantizer for Image Retrieval Yuan Cao; Heng Qi; Jie Gui; Keqiu Li; Yuan Yan Tang; James Tin-Yau Kwok
• Hierarchical Deep Hashing for Fast Large Scale Image Retrieval Yongfei Zhang, Cheng Peng, Zhang Jingtao, Xianglong Liu, Shiliang Pu, Changhuai Chen
• Label Self-Adaption Hashing for Image Retrieval Jianglin Lu, Zhihui Lai, Hailing Wang, Jie Zhou
• Model Optimization Boosting Framework for Linear Model Hash Learning Xingbo Liu, Xiushan Nie, Quan Zhou, Liqiang Nie, Yilong Yin
• Targeted Attack for Deep Hashing based Retrieval Jiawang Bai, Bin Chen, Yiming Li, Dongxian Wu, Weiwei Guo, Shu-tao Xia, En-hui Yang
• ExchNet: A Unified Hashing Network for Large-Scale Fine-Grained Image Retrieval Quan Cui, Qing-Yuan Jiang, Xiu-Shen Wei, Wu-Jun Li, and Osamu Yoshie

KDD

• Very Sparse Random Projections Ping Li, Trevor J Hastie, Kenneth W. Church
• Comparing apples to oranges: a scalable solution with heterogeneous hashing M. Ou, P. Cui, F. Wang, J. Wang, W. Zhu, S. Yang
• Deep Visual-Semantic Hashing for Cross-Modal Retrieval Yue Cao, Mingsheng Long, Jianmin Wang, Qiang Yang, Philip S. Yu

LSH

• Locality-sensitive hashing scheme based on p-stable distributions M. Datar, N. Immorlica, P. Indyk, V. Mirrokni
• LSH Forest: Self-Tuning Indexes for Similarity Search M. Bawa, T. Condie, P. Ganesan
• Multi-Probe LSH: Efficient Indexing for High-Dimensional Similarity Search Q. Lv, W. Josephson, Z. Wang, M. Charikar, K. Li
• Locality-sensitive binary codes from shift-invariant kernels M. Raginsky, S. Lazebnik
• Streaming First Story Detection with application to Twitter S. Petrovic, M. Osborne, V. Lavrenko
• Using paraphrases for improving first story detection in news and Twitter S. Petrovic, M. Osborne, V. Lavrenko
• Neighbourhood Preserving Quantisation for LSH S. Moran, V. Lavrenko, and M. Osborne
• Streaming Similarity Search over one Billion Tweets using Parallel Locality-Sensitive Hashing Narayanan Sundaram, Aizana Turmukhametova, Nadathur Satish, Todd Mostak, Piotr Indyk, Samuel Madden and Pradeep Dubey
• Variable Bit Quantisation for LSH S. Moran, V. Lavrenko, and M. Osborne
• Practical and Optimal LSH for Angular Distance A. Andoni, P. Indyk, T. Laarhoven
• Enhancing First Story Detection using Word Embeddings S. Moran, R. McCreadie, C. Macdonald, I. Ounis
• Locality-Sensitive Hashing for Earthquake Detection: A Case Study of Scaling Data-Driven Science Kexin Rong, Clara E. Yoon, Karianne J. Bergen, Hashem Elezabi,Peter Bailis, Philip Levis, Gregory C. Beroza
• Locality-Sensitive Hashing for f-Divergences: Mutual Information Loss and Beyond L. Chen, H. Esfandiari, G. Fu, V. Mirrokni

LSTM

• Neighborhood Preserving Hashing for Scalable Video Retrieval Shuyan Li, Zhixiang Chen, Jiwen Lu, Xiu Li, Jie Zhou

MM

• Linear cross-modal hashing for efficient multimedia search Xiaofeng Zhu, Zi Huang, Heng Tao Shen, Xin Zhao
• SCRATCH: A Scalable Discrete Matrix Factorization Hashing for Cross-Modal Retrieval Chuan-Xiang Li , Zhen-Duo Chen, Peng-Fei Zhang, Xin Luo, Liqiang Nie, Wei Zhang, Xin-Shun Xu
• A Two-step Cross-modal Hashing by Exploiting Label Correlations and Preserving Similarity in Both Steps Zhen-Duo Chen, Yongxin Wang, Hui-Qiong Li, Xin Luo, Liqiang Nie, Xin-Shun
• Semi-supervised Deep Quantization for Cross-modal Search Xin Wang, Wenwu Zhu, Chenghao Liu
• Deep Hashing by Discriminating Hard Examples Cheng Yan, Guansong Pang, Xiao Bai, Chunhua Shen, Jun Zhou, Edwin Hancock
• Separated Variational Hashing Networks for Cross-Modal Retrieval Peng Hu, Xu Wang, Liangli Zhen, Dezhong Peng

NAACL

• Streaming First Story Detection with application to Twitter S. Petrovic, M. Osborne, V. Lavrenko
• Using paraphrases for improving first story detection in news and Twitter S. Petrovic, M. Osborne, V. Lavrenko

NIPS

• Semantic Hashing R. Salakhutdinov, G. Hinton
• Locality-sensitive binary codes from shift-invariant kernels M. Raginsky, S. Lazebnik
• Spectral Hashing Y. Weiss, A. Torralba, R. Fergus
• Hashing Hyperplane Queries to Near Points with Applications to Large-Scale Active Learning P. Jain, S. Vijayanarasimhan, K. Grauman
• Hamming Distance Metric Learning M. Norouzi, D. Fleet, R. Salakhutdinov
• Co-Regularized Hashing for Multimodal Data Y. Zhen, D. Yeung
• The Power of Asymmetry in Binary Hashing B. Neyshabur, R. Salakhutdinov, N. Srebro
• Discrete Graph Hashing W. Liu, C. Mu, S. Kumar, S. Chang
• Practical and Optimal LSH for Angular Distance A. Andoni, P. Indyk, T. Laarhoven
• Deep Supervised Discrete Hashing Qi Li, Zhenan Sun, Ran He, Tieniu Tan
• Greedy Hash: Towards Fast Optimization for Accurate Hash Coding in CNN Shupeng Su, Chao Zhang, Kai Han, Yonghong Tian
• Locality-Sensitive Hashing for f-Divergences: Mutual Information Loss and Beyond L. Chen, H. Esfandiari, G. Fu, V. Mirrokni

Quantisation

• Iterative Quantization: A Procrustean Approach to Learning Binary Codes Y. Gong, S. Lazebnik
• Manhattan Hashing for Large-Scale Image Retrieval W. Kong, W. Li, M. Guo
• Neighbourhood Preserving Quantisation for LSH S. Moran, V. Lavrenko, and M. Osborne
• Variable Bit Quantisation for LSH S. Moran, V. Lavrenko, and M. Osborne
• Adaptive Quantization for Hashing: An Information-Based Approach to Learning Binary Codes C. Xiong, W. Chen, G. Chen, D. Johnson, J. Corso
• Deep Hashing Network for Efficient Similarity Retrieval Han Zhu, Mingsheng Long, Jianmin Wang, Yue Cao
• Affinity Preserving Quantization for Hashing: A Vector Quantization Approach to Learning Compact Binary Codes Z. Wang, L. Duan, T. Huang, W. Gao
• Collective Deep Quantization for Efficient Cross-Modal Retrieval Yue Cao, Mingsheng Long, Jianmin Wang, Shichen Liu
• Semi-supervised Deep Quantization for Cross-modal Search Xin Wang, Wenwu Zhu, Chenghao Liu
• Push for Quantization: Deep Fisher Hashing Yunqiang Li, Wenjie Pei, Yufei zha, Jan van Gemert
• Variable-Length Quantization Strategy for Hashing Yang Shi, Xiushan Nie, Xin Zhou, Xiaoming Xi, Yilong Yin
• Learning to Hash with a Dimension Analysis-based Quantizer for Image Retrieval Yuan Cao; Heng Qi; Jie Gui; Keqiu Li; Yuan Yan Tang; James Tin-Yau Kwok

RNN

• Deep Visual-Semantic Hashing for Cross-Modal Retrieval Yue Cao, Mingsheng Long, Jianmin Wang, Qiang Yang, Philip S. Yu

SCG

• Locality-sensitive hashing scheme based on p-stable distributions M. Datar, N. Immorlica, P. Indyk, V. Mirrokni

SDM

• Adaptive Quantization for Hashing: An Information-Based Approach to Learning Binary Codes C. Xiong, W. Chen, G. Chen, D. Johnson, J. Corso

SIGIR

• Manhattan Hashing for Large-Scale Image Retrieval W. Kong, W. Li, M. Guo
• Neighbourhood Preserving Quantisation for LSH S. Moran, V. Lavrenko, and M. Osborne
• Supervised Hashing with Latent Factor Models P. Zhang, W. Zhang, W. Li, M. Guo
• Regularised Cross-Modal Hashing S. Moran, V. Lavrenko
• Learning to Project and Binarise for Hashing-Based Approximate Nearest Neighbour Search S. Moran
• Enhancing First Story Detection using Word Embeddings S. Moran, R. McCreadie, C. Macdonald, I. Ounis
• Deep Semantic Hashing with Generative Adversarial Networks Zhaofan Qiu, Yingwei Pan, Ting Yao, Tao Mei
• Variational Deep Semantic Hashing for Text Documents Suthee Chaidaroon, Yi Fang
• Fast Scalable Supervised Hashing Xin Luo, Liqiang Nie, Xiangnan He, Ye Wu, Zhen-Duo Chen, Xin-Shun Xu
• Deep Domain Adaptation Hashing with Adversarial Learning Fuchen Long, Ting Yao, Qi Dai, Xinmei Tian, Jiebo Luo, Tao Mei
• Deep Collaborative Discrete Hashing with Semantic-Invariant Structure Zijian Wang, Zheng Zhang, Yadan Luo and Zi Huang
• Online Multi-modal Hashing with Dynamic Query-adaption Xu Lu, Lei Zhu, Zhiyong Cheng, Liqiang Nie and Huaxiang Zhang
• Supervised Hierarchical Cross-Modal Hashing Changchang Sun, Xuemeng Song, Fuli Feng, Wayne Xin Zhao, Hao Zhang and Liqiang Nie
• Unsupervised Neural Generative Semantic Hashing Casper Hansen, Christian Hansen, Jakob Grue Simonsen, Stephen Alstrup, Christina Lioma
• Deep Semantic Text Hashing with Weak Supervision Suthee Chaidaroon, Travis Ebesu, Yi Fang
• Joint-modal Distribution-based Similarity Hashing for Large-scale Unsupervised Deep Cross-modal Retrieval Song Liu, Shengsheng Qian, Yang Guan, Jiawei Zhan, Long Ying
• Unsupervised Semantic Hashing with Pairwise Reconstruction Casper Hansen, Christian Hansen, Jakob Grue Simonsen, Stephen Alstrup, Christina Lioma
• Content-aware Neural Hashing for Cold-start Recommendation Casper Hansen, Christian Hansen, Jakob Grue Simonsen, Stephen Alstrup, Christina Lioma
• Nonlinear Robust Discrete Hashing for Cross-Modal Retrieval Zhan Yang, Jun Long, Lei Zhu, Wenti Huang
• Online Collective Matrix Factorization Hashing for Large-Scale Cross-Media Retrieval Di Wang, Quan Wang, Yaqiang An, Xinbo Gao, Yumin Tian

SIGMOD

• Inter-Media Hashing for Large-Scale Retrieval from Heterogeneous Data Sources J. Song, Y. Yang, Y. Yang, Z. Huang, H. Shen

Self-Supervised

• Self-Supervised Video Hashing with Hierarchical Binary Auto-encoder Jingkuan Song, Hanwang Zhang, Xiangpeng Li, Lianli Gao, Meng Wang, Richang Hong

Skewed Data

• LSH Forest: Self-Tuning Indexes for Similarity Search M. Bawa, T. Condie, P. Ganesan

Spectral

• Spectral Hashing Y. Weiss, A. Torralba, R. Fergus

Streaming Data

• Streaming First Story Detection with application to Twitter S. Petrovic, M. Osborne, V. Lavrenko
• Using paraphrases for improving first story detection in news and Twitter S. Petrovic, M. Osborne, V. Lavrenko
• Streaming Similarity Search over one Billion Tweets using Parallel Locality-Sensitive Hashing Narayanan Sundaram, Aizana Turmukhametova, Nadathur Satish, Todd Mostak, Piotr Indyk, Samuel Madden and Pradeep Dubey
• Adaptive Hashing for Fast Similarity Search F. Cakir, S. Sclaroff
• Enhancing First Story Detection using Word Embeddings S. Moran, R. McCreadie, C. Macdonald, I. Ounis
• MIHash: Online Hashing with Mutual Information F. Cakir, K. He, S. Bargal, S. Sclaroff

Supervised

• Semantic Hashing R. Salakhutdinov, G. Hinton
• Fast Similarity Search for Learned Metrics P. Jain, B. Kulis, K. Grauman
• Semi-supervised hashing for scalable image retrieval J. Wang, S. Kumar, and S. Chang
• Sequential projection learning for hashing with compact codes J. Wang, S. Kumar, S. Chang
• Fast supervised hashing with decision trees for high-dimensional data Guosheng Lin, Chunhua Shen, Qinfeng Shi, Anton van den Hengel, and David Suter.
• Graph Cuts for Supervised Binary Coding T. Ge, K. He, J. Sun
• Large-scale supervised multimodal hashing with semantic correlation maximization D. Zhang, W. Li
• Supervised Hashing with Latent Factor Models P. Zhang, W. Zhang, W. Li, M. Guo
• Semantic Topic Multimodal Hashing for Cross-Media Retrieval Di Wang, Xinbo Gao, Xiumei Wang and Lihuo He
• Top Rank Supervised Binary Coding for Visual Search Dongjin Song, Wei Liu, Rongrong Ji, David A. Meyer, John R. Smith
• Deep Hashing for Compact Binary Codes Learning V. Liong, J. Lu, G. Wang, P. Moulin, J. Zhou
• Graph Regularised Hashing S. Moran, V. Lavrenko
• Correlation Autoencoder Hashing for Supervised Cross-Modal Search Yue Cao, Mingsheng Long, Jianmin Wang, Han Zhu
• Column Sampling Based Discrete Supervised Hashing Wang-Cheng Kang, Wu-Jun Li, Zhi-Hua Zhou
• Discretely Coding Semantic Rank Orders for Supervised Image Hashing Li Liu, Ling Shao, Fumin Shen, Mengyang Yu
• Deep Supervised Hashing for Multi-Label and Large-Scale Image Retrieval Dayan Wu, Zheng Lin, Bo Li, Mingzhen Ye, Weiping Wang
• Deep Semantic Hashing with Generative Adversarial Networks Zhaofan Qiu, Yingwei Pan, Ting Yao, Tao Mei
• Deep Supervised Discrete Hashing Qi Li, Zhenan Sun, Ran He, Tieniu Tan
• Fast Scalable Supervised Hashing Xin Luo, Liqiang Nie, Xiangnan He, Ye Wu, Zhen-Duo Chen, Xin-Shun Xu
• NASH: Toward End-to-End Neural Architecture for Generative Semantic Hashing Dinghan Shen, Qinliang Su, Paidamoyo Chapfuwa, Wenlin Wang, Guoyin Wang, Lawrence Carin, Ricardo Henao
• Deep Collaborative Discrete Hashing with Semantic-Invariant Structure Zijian Wang, Zheng Zhang, Yadan Luo and Zi Huang
• Semi-supervised Deep Quantization for Cross-modal Search Xin Wang, Wenwu Zhu, Chenghao Liu
• MoBoost: A Self-improvement Framework for Linear-based Hashing Xingbo Liu, Xiushan Nie, Xiaoming Xi, Lei Zhu, Yilong Yin
• Online Multi-modal Hashing with Dynamic Query-adaption Xu Lu, Lei Zhu, Zhiyong Cheng, Liqiang Nie and Huaxiang Zhang
• Embarrassingly Simple Binary Representation Learning Yuming Shen, Jie Qin,Jiaxin Chen, Li Liu, and Fan Zhu
• Hashing with Mutual Information F. Cakir, K. He, S. Bargal, S. Sclaroff
• Deep Supervised Hashing With Anchor Graph Yudong Chen, Zhihui Lai, Yujuan Ding, Kaiyi Lin, Wai Keung Wong
• Learning Space Partitions for Nearest Neighbor Search Yihe Dong, Piotr Indyk, Ilya Razenshteyn, Tal Wagner

Survey Paper

• Learning Binary Hash Codes for Large-Scale Image Search Kristen Grauman, Rob Fergus
• A Survey on Learning to Hash Jingdong Wang, Ting Zhang, Jingkuan Song, Nicu Sebe, and Heng Tao Shen

TIP

• Bit-Scalable Deep Hashing With Regularized Similarity Learning for Image Retrieval and Person Re-Identification R. Zhang, L. Lin, R. Zhang, W. Zuo, L. Zhang
• Self-Supervised Video Hashing with Hierarchical Binary Auto-encoder Jingkuan Song, Hanwang Zhang, Xiangpeng Li, Lianli Gao, Meng Wang, Richang Hong
• Model Optimization Boosting Framework for Linear Model Hash Learning Xingbo Liu, Xiushan Nie, Quan Zhou, Liqiang Nie, Yilong Yin

TOM

• Learning to Hash with a Dimension Analysis-based Quantizer for Image Retrieval Yuan Cao; Heng Qi; Jie Gui; Keqiu Li; Yuan Yan Tang; James Tin-Yau Kwok

TPAMI

• Fast Similarity Search for Learned Metrics P. Jain, B. Kulis, K. Grauman
• Unsupervised Deep Hashing with Similarity-Adaptive and Discrete Optimization Fumin Shen, Yan Xu, Li Liu, Yang Yang, Zi Huang, Heng Tao Shen
• Hashing with Mutual Information F. Cakir, K. He, S. Bargal, S. Sclaroff

Text Retrieval

• Streaming First Story Detection with application to Twitter S. Petrovic, M. Osborne, V. Lavrenko
• Using paraphrases for improving first story detection in news and Twitter S. Petrovic, M. Osborne, V. Lavrenko
• Regularised Cross-Modal Hashing S. Moran, V. Lavrenko
• Enhancing First Story Detection using Word Embeddings S. Moran, R. McCreadie, C. Macdonald, I. Ounis
• Variational Deep Semantic Hashing for Text Documents Suthee Chaidaroon, Yi Fang

Unsupervised

• Very Sparse Random Projections Ping Li, Trevor J Hastie, Kenneth W. Church
• Multi-Probe LSH: Efficient Indexing for High-Dimensional Similarity Search Q. Lv, W. Josephson, Z. Wang, M. Charikar, K. Li
• Sequential projection learning for hashing with compact codes J. Wang, S. Kumar, S. Chang
• Hashing with Graphs W. Liu, J. Wang, S. Kumar, S. Chang
• Iterative Quantization: A Procrustean Approach to Learning Binary Codes Y. Gong, S. Lazebnik
• Multidimensional Spectral Hashing Y. Weiss, R. Fergus, A. Torralba
• Fast Approximate Nearest-Neighbor Field by Cascaded Spherical Hashing I. Torres-Xirau, J. Salvador, E. Pérez-Pellitero
• Hashing with Binary Autoencoders M. Carreira-Perpinan, R. Raziperchikolaei
• Unsupervised Deep Hashing with Similarity-Adaptive and Discrete Optimization Fumin Shen, Yan Xu, Li Liu, Yang Yang, Zi Huang, Heng Tao Shen
• Progressive Generative Hashing for Image Retrieval Yuqing Ma, Yue He, Fan Ding, Sheng Hu, Jun Li, Xianglong Liu
• DistillHash: Unsupervised Deep Hashing by Distilling Data Pairs Erkun Yang, Tongliang Liu, Cheng Deng, Wei Liu, Dacheng Tao
• Unsupervised Neural Generative Semantic Hashing Casper Hansen, Christian Hansen, Jakob Grue Simonsen, Stephen Alstrup, Christina Lioma
• Deep Joint-Semantics Reconstructing Hashing for Large-Scale Unsupervised Cross-Modal Retrieval Shupeng Su, Zhisheng Zhong, Chao Zhang
• Neighborhood Preserving Hashing for Scalable Video Retrieval Shuyan Li, Zhixiang Chen, Jiwen Lu, Xiu Li, Jie Zhou
• Joint-modal Distribution-based Similarity Hashing for Large-scale Unsupervised Deep Cross-modal Retrieval Song Liu, Shengsheng Qian, Yang Guan, Jiawei Zhan, Long Ying
• Unsupervised Semantic Hashing with Pairwise Reconstruction Casper Hansen, Christian Hansen, Jakob Grue Simonsen, Stephen Alstrup, Christina Lioma

VLDB

• Multi-Probe LSH: Efficient Indexing for High-Dimensional Similarity Search Q. Lv, W. Josephson, Z. Wang, M. Charikar, K. Li
• Streaming Similarity Search over one Billion Tweets using Parallel Locality-Sensitive Hashing Narayanan Sundaram, Aizana Turmukhametova, Nadathur Satish, Todd Mostak, Piotr Indyk, Samuel Madden and Pradeep Dubey
• Locality-Sensitive Hashing for Earthquake Detection: A Case Study of Scaling Data-Driven Science Kexin Rong, Clara E. Yoon, Karianne J. Bergen, Hashem Elezabi,Peter Bailis, Philip Levis, Gregory C. Beroza

Video Retrieval

• Self-Supervised Video Hashing with Hierarchical Binary Auto-encoder Jingkuan Song, Hanwang Zhang, Xiangpeng Li, Lianli Gao, Meng Wang, Richang Hong
• Neighborhood Preserving Hashing for Scalable Video Retrieval Shuyan Li, Zhixiang Chen, Jiwen Lu, Xiu Li, Jie Zhou
• Central Similarity Hashing for Efficient Image and Video Retrieval Li Yuan, Tao Wang, Xiaopeng Zhang, Zequn Jie, Francis EH Tay, Jiashi Feng
• Targeted Attack for Deep Hashing based Retrieval Jiawang Bai, Bin Chen, Yiming Li, Dongxian Wu, Weiwei Guo, Shu-tao Xia, En-hui Yang

WWW

• LSH Forest: Self-Tuning Indexes for Similarity Search M. Bawa, T. Condie, P. Ganesan

Weakly Supervised

• Weakly Supervised Deep Image Hashing through Tag Embeddings Vijetha Gattupalli, Yaoxin Zhuo, Baoxin Li
• Deep Semantic Text Hashing with Weak Supervision Suthee Chaidaroon, Travis Ebesu, Yi Fang